AI strategy and readiness assessment
A clear board decision on which AI workloads to run in-house and which to leave with external providers.
Overview
Lindstead's AI strategy work gives the board one defensible answer: which AI workloads belong on infrastructure the organisation controls, which can stay with external APIs, and in what order to act. It starts with an AI readiness assessment and ends with a written recommendation.
Key questions
- Which of our AI use cases involve data that should not leave our control?
- Where does an external API remain the better and cheaper choice?
- Are we ready, in data, skills and governance, to run AI ourselves?
- What should the board decide now, and what can wait a year?
Approach
- AI readiness assessment A structured review of current and planned AI use, data classification, skills, infrastructure and governance, benchmarked against the obligations that apply to the organisation.
- Workload classification Each use case is classified by data sensitivity, regulatory exposure, volume and required capability, which determines whether it runs in-house, in a European cloud or through an external API.
- Board recommendation A concise recommendation with the options considered, the costs and risks of each, and a phased roadmap the executive team can execute.
Deliverables
- Executive briefing The state of models, costs and regulation relevant to the organisation, in board language.
- Workload classification Every AI use case mapped to in-house, European cloud or external API, with the reasoning recorded.
- Board recommendation and roadmap A written decision paper with a phased plan, owners and review points.
Frequently asked questions
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An AI readiness assessment reviews an organisation's data, infrastructure, skills and governance against its AI ambitions and the regulations that apply. It shows which use cases can proceed now, which need preparation, and which should not proceed.
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Lindstead is independent: it accepts no commissions from vendors, cloud providers or model developers, and its fees do not depend on which option the organisation chooses. Every figure in its analysis carries a source and a date.
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No. For many workloads an external API remains the better choice. The recommendation follows the data sensitivity, regulatory exposure and volume of each use case.
Related
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